Multi-Scale Point Cloud Analysis

We present a novel approach for capturing the important effects of multiple anisotropic Mie scattering within cloud layers (i.e., stratiform clouds), and the inter-reflections

Starting from the input points (either points clouds or multiple range images), an Estimated Existence Function (EEF) is built which models the space in which the desired surface

(a) The re-meshed surface of a hip bone (132, 538 points, 264, 927 triangles, point cloud data from Cyberware); the regularised (interior) MS (299 sheets, 475 curves, and 349

We move from an objective reading of the object (point cloud) to a reading enhanced by the cognitive input from an operator (architectural semantisation work).. This

Given a point cloud, in the form of unorganized points, the problem of auto- matically connecting the dots to obtain an aesthetically pleasing and piecewise-linear closed

It is a special case of the k-nearest neighbours (KNN) problem, where the input point cloud is also the set of query points.. AKNN is a standard tool in point-cloud process- ing

The method of [LA13] resolves this by introducing a hybrid approach to reconstruction: shape primitives are used to resample the point cloud and enforce structural constraints in

For the selected observa- tion point (red), two lines of seed points (blue) exist in the zero-level eigenvalue isosurfaces (horizontal planes) of the inertial flow map